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Method for Delivery Planning in Urban Areas with Environmental Aspects

Author

Listed:
  • Michał Lasota

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Aleksandra Zabielska

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Marianna Jacyna

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Piotr Gołębiowski

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

  • Renata Żochowska

    (Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland)

  • Mariusz Wasiak

    (Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland)

Abstract

This article presents research results on a multi-aspect assessment of delivery planning in the urban transport network. The distribution of goods and the operation of a network of small services in urban agglomerations is a very important decision-making problem. This is due, on one hand, to the dense development of urban areas and, on the other hand, to the increasing restrictions on minimizing harmful exhaust gases emitted by cars. Hence, many researchers are looking for decision support methods that take into account many partial points of view in the field of transport services for small service companies located in urban areas. The authors present a method of multi-criteria decision support in the planning of urban supplies, taking into account the minimization of emissions of harmful compounds (carbon dioxide, nitrogen oxides, and particulate matter), the cost, time, and amount of ecosystem exposure to these compounds. An important aspect of this research was to identify partial criteria of the decision support methodology and the definition of decision variants. The partial criteria included cost, time, and the amount of exposure of the ecosystem to harmful compounds. The Saaty method was used to determine the weights of the criteria.

Suggested Citation

  • Michał Lasota & Aleksandra Zabielska & Marianna Jacyna & Piotr Gołębiowski & Renata Żochowska & Mariusz Wasiak, 2024. "Method for Delivery Planning in Urban Areas with Environmental Aspects," Sustainability, MDPI, vol. 16(4), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1571-:d:1338253
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    References listed on IDEAS

    as
    1. Heleen Buldeo Rai & Laetitia Dablanc, 2023. "Hunting for treasure: a systematic literature review on urban logistics and e-commerce data," Transport Reviews, Taylor & Francis Journals, vol. 43(2), pages 204-233, March.
    2. Marianna Jacyna & Renata Żochowska & Aleksander Sobota & Mariusz Wasiak, 2021. "Scenario Analyses of Exhaust Emissions Reduction through the Introduction of Electric Vehicles into the City," Energies, MDPI, vol. 14(7), pages 1-33, April.
    3. Fontaine, Pirmin & Minner, Stefan & Schiffer, Maximilian, 2023. "Smart and sustainable city logistics: Design, consolidation, and regulation," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1071-1084.
    4. Muñoz-Villamizar, Andrés & Santos, Javier & Montoya-Torres, Jairo R. & Jaca, Carmen, 2018. "Using OEE to evaluate the effectiveness of urban freight transportation systems: A case study," International Journal of Production Economics, Elsevier, vol. 197(C), pages 232-242.
    5. Shao, Saijun & Xu, Gangyan & Li, Ming & Huang, George Q., 2019. "Synchronizing e-commerce city logistics with sliding time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 17-28.
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